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python书籍免费下载；python库参考；Django、Flask、FastAPI资源大全、DevOps资源大全、python测试库资源大全。公众号：pythontesting
[ECCV 2024] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
[CVPR'24 Highlight] The official code and data for paper "EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models"
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Self-hosted YouTube downloader (web UI for youtube-dl / yt-dlp)
GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
Training LLMs with QLoRA + FSDP
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
Creating and analyzing Earth observation data cubes in R
A configuration as code language with rich validation and tooling.
A Large-scale Multimodal Dataset for recommender System
[CVPR 2024] Official implementation of the paper "Visual In-context Learning"
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
"OpenGraph: Towards Open Graph Foundation Models"
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
MindSpore online courses: Step into LLM
"GraphEdit: Large Language Models for Graph Structure Learning"
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Multi-domain Recommendation with Adapter Tuning
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & V…